JPC-GCE Algorithm for Energy-Efficient Wideband mmWave Systems

In this paper, a joint precoding and combining (JPC) algorithm based on generalized cross-entropy (GCE) optimization is proposed for energy-efficiency (EE) wideband millimeter wave (mmWave) systems, named as JPC-GCE algorithm. Firstly, an analog precoder and combiner (PCr) joint optimization problem...

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Published in:IEEE transactions on green communications and networking Vol. 8; no. 4; pp. 1586 - 1594
Main Authors: Liu, Fulai, Lou, Xinyue, Li, Dan, Shi, Baozhu, Wang, Huifang, Du, Ruiyan
Format: Journal Article
Language:English
Published: IEEE 01.12.2024
Subjects:
Energy efficiency
generalized cross-entropy
hybrid precoding
low-resolution
Millimeter wave communication
MIMO communication
Optimization
Precoding
Radio frequency
Vectors
Wideband
ISSN:2473-2400, 2473-2400
Online Access:Get full text
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Abstract In this paper, a joint precoding and combining (JPC) algorithm based on generalized cross-entropy (GCE) optimization is proposed for energy-efficiency (EE) wideband millimeter wave (mmWave) systems, named as JPC-GCE algorithm. Firstly, an analog precoder and combiner (PCr) joint optimization problem is converted to a high-quality PCr sample selection problem based on probability distribution. Then, the quantized phase probability distribution parameters are updated by the GCE and Lagrange multiplier methods. Via this, the feasible set of optimal analog PCr vectors can be obtained. Especially, to improve EE, a low-resolution phase shifter (PS) is used in the analog PCr design, which reduces power consumption by PS quantization. Moreover, to eliminate the impact of interference on spectral efficiency (SE) performance, the digital precoder can be simply computed by the block diagonal approach, after selecting the most effective analog PCr for each subcarrier. Simulation results show that the JPC-GCE algorithm not only has high EE by selecting low-resolution PS while achieving better SE.
AbstractList In this paper, a joint precoding and combining (JPC) algorithm based on generalized cross-entropy (GCE) optimization is proposed for energy-efficiency (EE) wideband millimeter wave (mmWave) systems, named as JPC-GCE algorithm. Firstly, an analog precoder and combiner (PCr) joint optimization problem is converted to a high-quality PCr sample selection problem based on probability distribution. Then, the quantized phase probability distribution parameters are updated by the GCE and Lagrange multiplier methods. Via this, the feasible set of optimal analog PCr vectors can be obtained. Especially, to improve EE, a low-resolution phase shifter (PS) is used in the analog PCr design, which reduces power consumption by PS quantization. Moreover, to eliminate the impact of interference on spectral efficiency (SE) performance, the digital precoder can be simply computed by the block diagonal approach, after selecting the most effective analog PCr for each subcarrier. Simulation results show that the JPC-GCE algorithm not only has high EE by selecting low-resolution PS while achieving better SE.
Author Wang, Huifang
Li, Dan
Shi, Baozhu
Lou, Xinyue
Du, Ruiyan
Liu, Fulai
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SubjectTerms Energy efficiency
generalized cross-entropy
hybrid precoding
low-resolution
Millimeter wave communication
MIMO communication
Optimization
Precoding
Radio frequency
Vectors
Wideband
Title JPC-GCE Algorithm for Energy-Efficient Wideband mmWave Systems
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